Literature DB >> 34480159

Multiplexed profiling facilitates robust m6A quantification at site, gene and sample resolution.

David Dierks1,2, Miguel Angel Garcia-Campos1, Anna Uzonyi1,3, Modi Safra1, Sarit Edelheit1, Alice Rossi4, Theodora Sideri4, Radhika A Varier4, Alexander Brandis5, Yonatan Stelzer3, Folkert van Werven4, Ruth Scherz-Shouval2, Schraga Schwartz6.   

Abstract

N6-methyladenosine (m6A) is the most prevalent modification of messenger RNA in mammals. To interrogate its functions and dynamics, there is a critical need to quantify m6A at three levels: site, gene and sample. Current approaches address these needs in a limited manner. Here we develop m6A-seq2, relying on multiplexed m6A-immunoprecipitation of barcoded and pooled samples. m6A-seq2 allows a big increase in throughput while reducing technical variability, requirements of input material and cost. m6A-seq2 is furthermore uniquely capable of providing sample-level relative quantitations of m6A, serving as an orthogonal alternative to mass spectrometry-based approaches. Finally, we develop a computational approach for gene-level quantitation of m6A. We demonstrate that using this metric, roughly 30% of the variability in RNA half life in mouse embryonic stem cells can be explained, establishing m6A as a main driver of RNA stability. m6A-seq2 thus provides an experimental and analytic framework for dissecting m6A-mediated regulation at three different levels.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 34480159     DOI: 10.1038/s41592-021-01242-z

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  68 in total

1.  N(6)-methyladenosine Modulates Messenger RNA Translation Efficiency.

Authors:  Xiao Wang; Boxuan Simen Zhao; Ian A Roundtree; Zhike Lu; Dali Han; Honghui Ma; Xiaocheng Weng; Kai Chen; Hailing Shi; Chuan He
Journal:  Cell       Date:  2015-06-04       Impact factor: 41.582

2.  Cytoplasmic m6A reader YTHDF3 promotes mRNA translation.

Authors:  Ang Li; Yu-Sheng Chen; Xiao-Li Ping; Xin Yang; Wen Xiao; Ying Yang; Hui-Ying Sun; Qin Zhu; Poonam Baidya; Xing Wang; Devi Prasad Bhattarai; Yong-Liang Zhao; Bao-Fa Sun; Yun-Gui Yang
Journal:  Cell Res       Date:  2017-01-20       Impact factor: 25.617

3.  Identification of methylated nucleosides in messenger RNA from Novikoff hepatoma cells.

Authors:  R Desrosiers; K Friderici; F Rottman
Journal:  Proc Natl Acad Sci U S A       Date:  1974-10       Impact factor: 11.205

4.  Comprehensive analysis of mRNA methylation reveals enrichment in 3' UTRs and near stop codons.

Authors:  Kate D Meyer; Yogesh Saletore; Paul Zumbo; Olivier Elemento; Christopher E Mason; Samie R Jaffrey
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

5.  YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA.

Authors:  Hailing Shi; Xiao Wang; Zhike Lu; Boxuan S Zhao; Honghui Ma; Phillip J Hsu; Chang Liu; Chuan He
Journal:  Cell Res       Date:  2017-01-20       Impact factor: 25.617

6.  N(6)-methyladenosine-dependent RNA structural switches regulate RNA-protein interactions.

Authors:  Nian Liu; Qing Dai; Guanqun Zheng; Chuan He; Marc Parisien; Tao Pan
Journal:  Nature       Date:  2015-02-26       Impact factor: 49.962

7.  m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover.

Authors:  Shengdong Ke; Amy Pandya-Jones; Yuhki Saito; John J Fak; Cathrine Broberg Vågbø; Shay Geula; Jacob H Hanna; Douglas L Black; James E Darnell; Robert B Darnell
Journal:  Genes Dev       Date:  2017-05-15       Impact factor: 11.361

8.  N6-methyladenosine-dependent regulation of messenger RNA stability.

Authors:  Xiao Wang; Zhike Lu; Adrian Gomez; Gary C Hon; Yanan Yue; Dali Han; Ye Fu; Marc Parisien; Qing Dai; Guifang Jia; Bing Ren; Tao Pan; Chuan He
Journal:  Nature       Date:  2013-11-27       Impact factor: 49.962

9.  YTHDC1 mediates nuclear export of N6-methyladenosine methylated mRNAs.

Authors:  Ian A Roundtree; Guan-Zheng Luo; Zijie Zhang; Xiao Wang; Tao Zhou; Yiquang Cui; Jiahao Sha; Xingxu Huang; Laura Guerrero; Phil Xie; Emily He; Bin Shen; Chuan He
Journal:  Elife       Date:  2017-10-06       Impact factor: 8.140

10.  Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq.

Authors:  Dan Dominissini; Sharon Moshitch-Moshkovitz; Schraga Schwartz; Mali Salmon-Divon; Lior Ungar; Sivan Osenberg; Karen Cesarkas; Jasmine Jacob-Hirsch; Ninette Amariglio; Martin Kupiec; Rotem Sorek; Gideon Rechavi
Journal:  Nature       Date:  2012-04-29       Impact factor: 49.962

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  7 in total

1.  Decoupling of degradation from deadenylation reshapes poly(A) tail length in yeast meiosis.

Authors:  David Wiener; Yaron Antebi; Schraga Schwartz
Journal:  Nat Struct Mol Biol       Date:  2021-12-09       Impact factor: 15.369

Review 2.  Hidden codes in mRNA: Control of gene expression by m6A.

Authors:  Shino Murakami; Samie R Jaffrey
Journal:  Mol Cell       Date:  2022-06-16       Impact factor: 19.328

Review 3.  The role of Insulin-like growth factor 2 mRNA-binding proteins (IGF2BPs) as m6A readers in cancer.

Authors:  Chao-Yue Sun; Di Cao; Bin-Bin Du; Cun-Wu Chen; Dong Liu
Journal:  Int J Biol Sci       Date:  2022-03-28       Impact factor: 10.750

4.  mRNAs sequestered in stress granules recover nearly completely for translation.

Authors:  Sarada Das; Leonardo Santos; Antonio Virgilio Failla; Zoya Ignatova
Journal:  RNA Biol       Date:  2022-01       Impact factor: 4.766

5.  Microarray and bioinformatic analysis reveal the parental genes of m6A modified circRNAs as novel prognostic signatures in colorectal cancer.

Authors:  Wenken Liang; Liyuan Deng; Chune Mo; Wei Chen; Yu Sha; Jianling Shi; Xianliang Hou; Yuping Zhang; Min Yang; Minglin Ou
Journal:  Front Oncol       Date:  2022-07-29       Impact factor: 5.738

Review 6.  The emerging roles and mechanism of m6a in breast cancer progression.

Authors:  Mengying Zhou; Menglu Dong; Xue Yang; Jun Gong; Xinghua Liao; Qi Zhang; Zeming Liu
Journal:  Front Genet       Date:  2022-08-10       Impact factor: 4.772

7.  m6A RNA methylation regulator-related signatures exhibit good prognosis prediction ability for head and neck squamous cell carcinoma.

Authors:  Yujia Zhai; Lian Zheng
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

  7 in total

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